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Chemical Science|December 12, 2022
Coarse-grained modelling to predict the packing of porous organic cagesEmma H Wolpert, Kim E JelfsOrganic Letters|December 15, 2015
Chiral 2 + 3 Keto-Enamine Pseudocyclophanes Derived from 1,3,5-TriformylphloroglucinolPrzemysław Kieryk, Jan Janczak, Jarosław Panek, et al.Chempluschem|August 25, 2020
High-Throughput Approaches for the Discovery of Supramolecular Organic CagesRebecca L Greenaway, Kim E JelfsJournal of Computational Chemistry|September 25, 2018
stk: A python toolkit for supramolecular assemblyLukas Turcani, Enrico Berardo, Kim E JelfsDigital Discovery|December 6, 2023
Deep generative design of porous organic cages via a variational autoencoderJiajun Zhou, Austin Mroz, Kim E JelfsPhysical Chemistry Chemical Physics : PCCP|November 6, 2013
Hydroxylation of silica nanoclusters (SiO2)M(H2O)N, M = 4, 8, 16, 24: stability and structural trendsKim E Jelfs, Edwin Flikkema, Stefan T BromleyChemical Communications (Cambridge, England)|October 15, 2011
Evidence for atomic mixing via multiple intermediates during the dynamic interconversion of silicate oligomers in solutionKim E Jelfs, Edwin Flikkema, Stefan T BromleyDigital Discovery|May 6, 2022
Explainable graph neural networks for organic cagesQi Yuan, Filip T Szczypiński, Kim E JelfsChemical Communications (Cambridge, England)|September 10, 2015
Predicting solvent effects on the structure of porous organic moleculesValentina Santolini, Gareth A Tribello, Kim E JelfsChemical Science|June 24, 2021
Can we predict materials that can be synthesised?Filip T Szczypiński, Steven Bennett, Kim E JelfsPageof 11